Title

Modeling Chinese inbound tourism arrivals into Christchurch

Document Type

Article

Source of Publication

e-Review of Tourism Research

Publication Date

1-1-2018

Abstract

© 2018 Texas A and M University. New data and modeling approaches are improving the usefulness of Internet search data for forecasting inbound tourist arrivals. Previous research has focused on Google Trends as a source of search data to augment tourism forecasting capabilities. In the context of rapidly increasing Chinese outbound tourism Google data lacks the market penetration in China to produce reliable auxiliary data for tourism forecasting. This short paper provides evidence of the usefulness of Baidu search data in predicting Chinese inbound tourist arrivals into a specific region in New Zealand. It also compares three modeling approaches, finding a Vector Autoregressive approach the most useful.

ISSN

1941-5842

Publisher

Texas A and M University

Volume

15

Issue

4-5

First Page

404

Last Page

414

Disciplines

Business

Keywords

Baidu, China, Forecasting, Internet search data, Modelling, New Zealand, Outbound tourism

Scopus ID

85054034775

Indexed in Scopus

yes

Open Access

no

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